code: def _smoke_test_objective(self, model, device, dtype):
      model = model.to(device=device, dtype=dtype)
      model = model.eval()
  
      batch_size, num_frames = 3, 16000
      waveforms = torch.randn(
          batch_size, num_frames, device=device, dtype=dtype
      )
  
      model(waveforms)
  
file_path: audio/test/torchaudio_unittest/models/squim/squim_test.py
imports: import torch
  from parameterized import parameterized
  from torchaudio.models import squim_objective_base, squim_subjective_base
  from torchaudio_unittest.common_utils import skipIfNoCuda, torch_script, TorchaudioTestCase
label_desc: Use image node_id 1 for calling the TestSquimObjective obj's underlying member method code with example usage: obj._smoke_test_objective(model, device, dtype) without return types